Java Developer Job Listing at SAIC in REMOTE WORK, VA (Job ID 2601247)

Description

Description

SAIC is looking for a Java Developer who will be responsible for converting existing PySpark codebases into optimized Java-based Spark applications. This role includes developing, refactoring, and maintaining scalable data processing solutions developed on the Databricks platform (or similar Spark execution environments).

Key Responsibilities:

·        Convert existing PySpark applications into equivalent, efficient Java Spark implementations

·        Design, develop, and maintain scalable Spark-based data pipelines

·        Implement data processing logic using Java 8+ with best practices in OOP and functional programming

·        Integrate solutions with IRS datasets including IRMF, BMF, and IMF

·        Optimize Spark jobs for performance, maintainability, and cost-efficiency

·        Collaborate across development, data engineering, and architecture teams

·        Troubleshoot and debug Spark workloads in distributed environments

·        Ensure compliance with IRS data handling, security, and governance policies

Qualifications

Required QualificationsRequired:

• Bachelor's degree in Computer Science, Information Systems, or a related field.

• Active MBI Clearance

• 5+ years of professional experience in a data engineering or software development role.

• Advanced expertise in:

·         IRS datasets (IRMF, BMF, IMF) and tax system data structures.

·         Java 8+ (experience with functional programming, Streams API, Lambdas).

·         Apache Spark (Spark Core, Spark SQL, DataFrame APIs, performance tuning).

·         Big data ecosystems (HDFS, Hive, Kafka, S3).

·         Working with batch and streaming ETL pipelines for data processing.

• Proficient with Git, Maven/Gradle, and DevOps tools.
• Expertise in debugging Spark transformations and ensuring performance.

Preferred Qualifications:

• Hands-on experience converting PySpark workloads into Java Spark.
• Familiarity with ecosystems such as Databricks, Google Dataproc, or similar.
• Knowledge of Delta Lake or Apache Iceberg.
• Proven experience in big data performance modeling and tuning.

Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

 Apply on company website